Metric Learning with Multiple Kernels.
Jun WangHuyen DoAdam WoznicaAlexandros KalousisPublished in: NIPS (2011)
Keyphrases
- metric learning
- positive semidefinite
- distance metric
- kernel learning
- pairwise
- margin maximization
- feature space
- distance metric learning
- machine learning and pattern recognition
- dimensionality reduction
- multi task
- semi supervised
- kernel matrix
- distance function
- mahalanobis metric
- data sets
- machine learning
- multiple features
- feature extraction
- learning algorithm
- euclidean distance
- pattern recognition
- support vector